The COVID-19 pandemic has accelerated the implementation of data analytics-based changes in healthcare management. Financial analysis and revenue cycle management identify cost drivers so they can be reduced or removed. At-risk populations are identified based on medical, demographic, or socioeconomic data. Performance analysis makes it possible to improve the quality of medical services. On the other hand, predictive analytics enables anticipation of upcoming events. This way, it is possible to identify problems before they occur and take preventive measures.